认知无线携能通信的关键技术及其研究进展

doi:10.11959/j.issn.1000-0801.2020138

电信科学 ›› 2020, Vol. 36 ›› Issue (10): 87-101.doi: 10.11959/j.issn.1000-0801.2020138

认知无线携能通信的关键技术及其研究进展

许晓荣(),孙明杭,沈霖晖,姚英彪,冯维

杭州电子科技大学通信工程学院，浙江杭州 310018

修回日期:2020-04-23 出版日期:2020-10-20 发布日期:2020-11-07
作者简介:许晓荣（1982- ），男，博士后，杭州电子科技大学副教授、硕士生导师，主要研究方向为认知无线电与认知无线携能通信中的中继选择、资源调度与优化、物理层安全技术等|孙明杭（1995- ），男，杭州电子科技大学硕士生，主要研究方向为认知无线携能通信中保障能量效率的资源调度策略优化技术等|沈霖晖（1995- ），男，杭州电子科技大学硕士生，主要研究方向为绿色携能网络中信息传输与能量收集均衡策略设计与优化等|姚英彪（1976- ），男，博士后，杭州电子科技大学教授、硕士生导师，主要研究方向为无线网络的能量有效性与无线资源管理等|冯维（1984- ），女，博士，杭州电子科技大学讲师，主要研究方向为无线多跳网络中的物理层安全策略等
基金资助:
浙江省自然科学基金一般项目(LY19F010011);国家自然科学基金项目“认知无线携能通信中的安全协同传输与资源管理技术研究”;国家留学基金委与浙江省教育厅联合资助出国研修项目(201908330543);2017年度杭州电子科技大学“优秀骨干教师支持计划”人才项目

Key technologies and research progresses in cognitive SWIPT

Xiaorong XU(),Minghang SUN,Linhui SHEN,Yingbiao YAO,Wei FENG

School of Communication Engineering,Hangzhou Dianzi University,Hangzhou 310018,China

Revised:2020-04-23 Online:2020-10-20 Published:2020-11-07
Supported by:
The Natural Science Foundation of Zhejiang Provincial of China(LY19F010011);The National Natural Science Foundation of China “Research on Secure Cooperative Transmission and Resource Management Technologies in Cognitive SWIPT Communications”;Cooperation Program of China Scholarship Council (CSC) and Department of Education of Zhejiang Province of China(201908330543);Excellent Backbone Teacher Support Program in Hangzhou Dianzi University in 2017

摘要/Abstract

摘要：

认知无线电（CR）与无线携能通信（SWIPT）的结合已经成为当今高能效认知无线通信的研究热点之一。首先阐述了SWIPT与认知SWIPT网络，而后介绍了SWIPT网络中两种接收机结构并给出相应的能量收集公式。然后，给出了认知SWIPT系统模型及其与协作中继技术、MIMO技术相结合进行系统建模的研究进展，并对认知SWIPT网络关键技术的未来研究方向进行了展望。最后，总结了近年来对认知SWIPT网络关键技术的研究成果，为高能效的安全认知SWIPT通信理论研究与未来应用提供了一定的借鉴意义。

关键词: 无线携能通信, 认知SWIPT网络, 系统建模, 研究成果

Abstract:

The combination of cognitive radio (CR) and simultaneous wireless information and power transfer (SWIPT) has become one of the research hotspots in modern high-efficient cognitive radio communications.Firstly,the introduction of SWIPT and cognitive SWIPT were illustrated.Secondly,two types of receiver structures commonly used in SWIPT networks were introduced and the corresponding energy harvesting formulas were given.Thirdly,system model of cognitive SWIPT network and the research progresses of cognitive SWIPT combined with cooperative relaying and MIMO were presented respectively.Future research prospects of the key technologies in cognitive SWIPT network were investigated.Finally,some recent research achievements of the key technologies in cognitive SWIPT were given.Certain referencing values in the theoretical research and future practical applications of high energy-efficient secure cognitive SWIPT communication network were provided.

Key words: simultaneous wireless information and power transfer, cognitive SWIPT network, system modeling

中图分类号:

TP393

许晓荣,孙明杭,沈霖晖,姚英彪,冯维. 认知无线携能通信的关键技术及其研究进展[J]. 电信科学, 2020, 36(10): 87-101.

Xiaorong XU,Minghang SUN,Linhui SHEN,Yingbiao YAO,Wei FENG. Key technologies and research progresses in cognitive SWIPT[J]. Telecommunications Science, 2020, 36(10): 87-101.

图/表 10

图1

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各参考文献SWIPT系统模型、接收机结构与优缺点"

参考文献	接收机结构	系统模型	优化目标	优缺点
[6]	时隙切换，功率分割，集中式，分布式	点对点，单天线	速率-能量折中	优点：提出了通用的接收机操作，分析了不同架构下的速率-能量域缺点：假设过于理想
[7]	时隙切换	点对点，单天线	速率/能量折中	优点：考虑了窄带平坦衰落信道的时变信道干扰，推导了时隙切换的的最佳模式切换策略，同时研究了接收电路能耗对系统的影响缺点：模型为单一点对点通信，天线数较少，模型简单
[8]	时隙切换	多用户，MIMO	遍历容量与平均收集能量之间的折中	优点：设计了多用户调度方案，达到了速率-能量折中，同时设计了保障能效的两种公平调度方案缺点：每个时隙只选择一个用户进行信息传输，其余用户进行能量收集，系统吞吐量有待进一步的提升
[9]	时隙切换功率分配	3节点，MIMO	速率-能量折中	优点：对不同情况下的SWIPT 接收机均提出了可达的速率-能量域缺点：未推广到多用户场景
[11]	时隙切换	双跳，多天线	速率-能量折中	优点：研究了两种CSI情况下的预编码器，分析了对应的速率-能量域，可应用于多天线发送节点中缺点：未考虑到未知CSI情况下的预编码器设计
[12]	时隙切换	MISO	最大化能量收集	优点：多天线广播系统，将带约束的非凸问题转换为松弛半定规划问题缺点：仅为双跳模型，较为简单
[16]	动态天线切换	MIMO	最优路径和最小化中断概率的分配策略	优点：推导了中断概率的闭式表达式，可以推广到多用户干扰场景，复杂度低缺点：为了降低复杂度，天线分配算法较为简单
[17]	功率分割	放大转发（amplifyand-forward，AF）双向中继	最大化能量效率	优点：提出了联合功率分配比的优化方案，可以应用到其他场景缺点：只给出局部最优解和等功率分配方案的闭式表达式
[18]	分用户	MISO	最大化速率和最大化能量以及之间的关系	优点：考虑微小区场景，为了解决非凸性问题，设计了两个波束成形器缺点：仅考虑上行信道未考虑不完美CSI对系统的影响，对于同信道如何部署在多小区有待研究
[19]	功率分割	多个传感器节点簇和一个汇聚节点	最大化能量效率	优点：应用于协作式集群无线传感器网络中，利用分数规划和对偶分解，设计了功率分配和中继选择的分布式迭代算法，以解决非凸优化问题缺点：未考虑协作式集群无线传感器网络的用户间干扰与同频复用问题

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图8

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参考文献	系统模型	优化目标	优缺点
[20]	单向中继，双向中继，多节点	最大化吞吐量，最大化和速率	优点：详细分析了单向和双向中继认知SWIPT网络，同时给出复杂度低的最大化吞吐量次优解缺点：未考虑收发节点距离和干扰因素
[21]	多认知节点	最大化总吞吐量	优点：利用马尔可夫决策模式选择，有效实现能量收集与瞬时信息吞吐量（速率）的均衡缺点：主用户和认知节点数较少情况
[22]	多主节点，多认知节点	最大化次网络吞吐量	优点：基于经典认知无线电网络模型，提出了一种新的主次网络共存方法；缺点：需要考虑各节点之间的距离以及主次网络范围和当前节点状态，复杂度较高
[23]	单主节点，单认知发送节点，多认知接收节点	给定中断概率下的最佳阈值	优点：给出了遍历容量、误符号率、吞吐量和收集能量的解析表达式，并给出满足目标中断概率的最佳阈值缺点：主要考虑认知网络，对于主网络的分析较少
[24]	单主收发节点，单收发认知节点	最小化次用户的中断概率	优点：提出了由功率和传输概率控制的新型传输方案缺点：节点数目较少，推广到实际情况存在一定的难度
[25]	单主收发节点，单收发认知节点	最大化认知用户的信息速率	优点：研究了两个系统之间的联合信息与能量协作缺点：只考虑一对主用户和一对认知用户情况，同时已知CSI

认知无线携能通信的关键技术及其研究进展

Key technologies and research progresses in cognitive SWIPT

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